ASUS System Product Name
Geekbench AI Score
6751
Single Precision Score
9187
Half Precision Score
14259
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Dementor048 |
| Upload Date | April 01 2025 07:41 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro Insider Preview (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-F GAMING WIFI |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4088
760.3 IPS |
|
|
Image Classification (HP)
|
100% |
5812
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
9067
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5070
82.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2931
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3961
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8312
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
34169
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
74387
87.1 IPS |
|
|
Object Detection (SP)
|
100% |
3839
304.5 IPS |
|
|
Object Detection (HP)
|
100% |
5907
468.6 IPS |
|
|
Object Detection (Q)
|
87% |
9760
783.3 IPS |
|
|
Face Detection (SP)
|
100% |
11014
130.9 IPS |
|
|
Face Detection (HP)
|
100% |
14863
176.6 IPS |
|
|
Face Detection (Q)
|
100% |
25202
299.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10076
77.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17726
136.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
32795
255.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24522
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
50045
64.3 IPS |
|
|
Style Transfer (Q)
|
98% |
93873
121.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5102
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14029
518.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25324
937.8 IPS |
|
|
Text Classification (SP)
|
100% |
3998
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1768
2.36 KIPS |
|
|
Text Classification (Q)
|
92% |
1759
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5362
92.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3812
65.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3858
66.5 IPS |
